mvpa2.generators.partition

Dataset partitioning strategies

Inheritance diagram of mvpa2.generators.partition

Classes

CustomPartitioner(splitrule, **kwargs) Partition a dataset using an arbitrary custom rule.
ExcludeTargetsCombinationsPartitioner(k, …) Exclude combinations for a given partition from other partitions
FactorialPartitioner(partitioner, **kwargs) Partitioner for two-level factorial designs
HalfPartitioner([count, selection_strategy, …]) Partition a dataset into two halves of the sample attribute.
NFoldPartitioner([cvtype]) Generic N-fold data partitioner.
NGroupPartitioner([ngroups]) Partition a dataset into N-groups of the sample attribute.
OddEvenPartitioner([usevalues]) Create odd and even partitions based on a sample attribute.
Partitioner([count, selection_strategy, …]) Generator node to partition a dataset.